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CORR
2010
Springer
13 years 7 months ago
2010
Springer
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
TIP
2008
13 years 7 months ago
2008
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
TNN
2008
13 years 7 months ago
2008
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
A label consistent K-SVD (LC-KSVD) algorithm to learn a discriminative dictionary for sparse coding is presented. In addition to using class labels of training data, we also assoc...
TKDE
2011
13 years 2 months ago
2011
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...